重庆理工大学学报(自然科学) ›› 2023, Vol. 37 ›› Issue (12): 40-48.

• 汽车工程 • 上一篇    下一篇

模糊PLL的车用水泵电机双滑模控制研究

刘勇, 李贵远, 曾庆东, 李刚   

  1. 辽宁工业大学汽车与交通工程学院
  • 出版日期:2024-02-04 发布日期:2024-02-04
  • 作者简介:刘勇,男,硕士研究生,主要从事新能源汽车驱动与控制技术研究,E-mail:916054764@qq.com;通信作者 李贵远,男,博士研究生,副教授,主要从事车辆智能化及高级辅助驾驶研究,E-mail:2609582477@qq.com

Fuzzy PLL dual sliding mode control algorithm for automotive water pump motor

  • Online:2024-02-04 Published:2024-02-04

摘要: 针对传统滑模观测器中,因高频抖振导致车用水泵电机无传感器控制系统对转子信息估计误差较大的问题,提出一种模糊PLL的车用水泵电机双滑模控制算法。该算法在速度环控制上设计了滑模控制器取代传统的PI控制器,降低了系统的超调量以及对参数变化的敏感度;在滑模观测器上采用饱和函数sat()代替符号函数sgn(),并设计了与转子转速相关的EMF自适应律,有效抑制了系统的高频抖振;在锁相环系统中引入了模糊PID,取代了传统的PID,减小了转子信息的估计误差,满足了系统的动态要求。仿真结果表明:模糊PLL的车用水泵电机双滑模控制算法对电机转子信息的观测准确度更高,转子转速信息和转子位置信息的估计误差分别为±2 r/min、0.11 rad

关键词: 双滑模控制, 滑模观测器, 模糊PID, 车用水泵电机

Abstract: To remedy the big estimated value errors of rotor intelligence arising from frequent buffeting of the conventional SMO observer that leads to automotive water pump motor without sensors control channel, this paper proposes a dual sliding-mode control algorithm for automotive water pump motor with fuzzy PLL. The algorithm, in the steer of velocity loop, employs sliding mode control (SMC) to replace the traditional PI control, reducing the overtravel of the system and the impact of parameter changes. On SMO, the saturation function sat() substitutes the sign function sgn(), and the EMF adaptive law related to the rotor speed is designed, which effectively suppresses the frequent buffeting troubles of the channel. A fuzzy PID control is incorporated to replace conventional PI control in the PLL channel to reduce the estimation error of rotor intel and satisfy the dynamic requirements of the system. The simulation results show the dual sliding mode control algorithm with fuzzy PLL for automotive water pump motor achieves higher accuracy in observing the motor rotor intelligence, and the estimation errors of rotor speed and rotor position record at ±2 r/min and 0.11rad respectively.

中图分类号: 

  • TP23